Compare AI models

Specifications
ParametersThe learned values that shape how a model responds. B means billion and T means trillion. For mixture-of-experts models, the total count is larger than the number active for each token. Parameter count alone does not measure quality.
671B2B/7B
Context windowHow much information the model can work with in one request, measured in tokens — pieces of words or other data. This includes your question, attachments, conversation and reply. Limits can vary by model variant and provider.
128k8k
These models have no shared benchmark scores.
Overview
CompanyDeepSeekGoogle
Release dateDec 25 2024Feb 21 2024
AccessOpen WeightOpen Weight
Model detailsView modelView model

Frequently asked questions

DeepSeek V3 Base and Gemma 1 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Gemma 1 shipped 308 days before DeepSeek V3 Base, so benchmark comparisons should account for the intervening progress.

DeepSeek V3 Base has 671B parameters, while Gemma 1 has 2B/7B. Context windows are 128k (DeepSeek V3 Base) vs 8k (Gemma 1).

Direct benchmark comparisons are unavailable — DeepSeek V3 Base and Gemma 1 don't publish scores on any of the same benchmarks.